I am currently a PhD candidate at University of Amsterdam under the supervision of Prof. Cees Snoek and Dr. Pascal Mettes.
Previously, I received my bachelor's degree and master's degree in School of Information Engineering, Zhengzhou University under the supervision of Prof. Yangdong Ye in 2014 and 2017, respectively. I have been paying a lot of attentions and made a great effort on Image Processing, Computer Vision, Medical Image Analysis and Deep Learning ever since matser. I have studied some interesting projects such as image recognition, crowd counting, person re-identification, whole heart segmentation and MR-CT synthesis, and have yielded some results. Currently, I'm working on image-to-image translation.
Three Things Everyone Should Know to Improve Density-Based Counting
Zenglin Shi, Pascal Mettes, and Cees Snoek
Conference, submitted, 2021.
On Measuring and Controlling the Spectral Bias of the Deep Image Prior
Zenglin Shi, Pascal Mettes, Subhransu Maji, and Cees Snoek
International Journal of Computer Vision (IJCV), under revision, 2021. [pdf]
Non-local Attention Improves Description Generation for Retinal Images
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin M.D., Jesper Tegner, Marcel Worring
WACV, accepted, 2021.
Ordered or Orderless: A Revisit for Video based Person Re-Identification
Le Zhang*, Zenglin Shi*, Joey Tianyi Zhou, Ming-Ming Cheng, Yun~Liu, Jia-Wang Bian, Zeng Zeng and Chunhua Shen (* indicates equal contributions)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 10.1109/TPAMI.2020.2976969, 2020. [pdf] [code]
DMIB: Dual-correlated Multivariate Information Bottleneck for Multi-view Clustering
Shizhe Hu, Zenglin Shi, Yangdong Ye
IEEE Transactions on Cybernetics, accepted, 2020. [pdf]
Nonlinear Regression via Deep Negative Correlation Learning
Le Zhang*, Zenglin Shi*, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng and Zeng Zeng (* indicates equal contributions)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 10.1109/TPAMI.2019.2943860, 2019. [pdf] [code]
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for WholeHeart Segmentation from 3D MR Images
Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, and Guoyan Zheng
MICCAI (Spotlight), 2018. [pdf]
Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data
Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.
Collective Density Clustering for Coherent Motion Detection
Yunpeng Wu, Yangdong Ye, Chenyang Zhao and Zenglin Shi
IEEE Transactions on MultiMedia (TMM), 2018, 20:1418 - 1431.
Crowd counting using rank-based spatial pyramid pooling network
Zenglin Shi, Yangdong Ye, ZhengZheng Lou and Yunpeng Wu
Acta Automatica Sinica, 2016, 42(6): 866-874.
Institute for Surgical Technology and Biomechanics, University of Bern, Switzerland
Research Assistant | 2017.11-2018.6
XjeraLabs Pte Ltd, Singpore
Research Assistant | 2017.9-2017.11
ADSC (Singapore-based research center of UIUC), Singapore
Research Assistant | 2017.6-2017.9